Meta AI's Llama 3 API outperforms GPT-4 in developer-focused applications, achieving superior results in a range of scenarios
The Next Leap in Language Modeling
Llama 3.1 was evaluated on over 150 benchmark datasets and through extensive human evaluations. The results indicate that Llama 3.1 is competitive with leading models like GPT-4 and Claude 3.5 Sonnet, including models with a similar number of parameters.
Llama 3 introduces enhanced reasoning abilities and supports a larger context window of up to 8,000 tokens, making it more effective for complex natural language processing tasks in software development. Meta's Llama 3 was trained on a massive dataset of over 15 trillion tokens.
Meta's Llama 3 8B model is reported to outperform other open-source models such as Mistral 7B and Gemma 7B, including MMLU, ARC, and DROP.
Meta's Llama 3 70B has demonstrated superior performance over Gemini 1.5 Pro across several benchmarks like MMLU, HumanEval, and GSM-8K.
Meta's Llama 3 70B has shown remarkable performance against GPT-3.5 on a custom test set designed to assess skills in coding, writing, reasoning, and summarization.
Meta AI extends its capabilities beyond typical AI functions, offering a suite of powerful AI tools for developers alike:
Gain instant access to Meta's Llama 3 through production API: AI/ML API provides direct connectivity to Llama 3 API.
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For more information, please refer to the following resources:
Read more LLaMA 3 8B Instruct - ideal for building a faster and more cost-effective chatbot, with a trade-off in accuracy.
Read more Llama 3 70B Instruct - this is the ideal choice for building an accurate chatbot.
Read Meta"s GitHub Model Card